Stefan Sommer
The project aims to develop data science and AI methodology needed for analysis of the shape and form or animals, organs, and plants – their morphology. Morphology has traditionally been important features in studies in fields ranging from biology over health science to plant science, but it is hard to quantify morphological differences, to do well-defined statistical analysis, and to integrate morphological data in data science and AI analysis pipelines. The project aims at solving this by developing the necessary statistical, machine learning and mathematical foundation for such analysis together with software implementations that are directly useful for researchers in the above fields. By doing this, we will make large classes of high-resolution data available for research to make new discoveries, to improve our understanding of animal evolution, to develop more resilient crops, and to increase our understanding of the relation between human organ shape and evolving diseases.